Abstract
This paper presents an exploration of observational frameworks for student engagement during use of augmented reality (AR) in early primary school education. Existing observational frameworks used for evaluating engagement are explored in terms of their alignment with AR learning affordances, focusing on both practical and conceptual issues with student engagement observation. They are found lacking the necessary flexibility to cover atypical-for-the-normal-classroom-experience actions performed by students in one student per tablet augmented reality learning experiences (ARLEs). In such environment students are individually guided by their tablet to explore the real-world classroom environment around them in order to progress in their learning experience, augmented by digital data and digital interactions on the tablet, which poses a challenge both in correct classification of student actions using traditional action catalogues as well as being more difficult to systematically observe. An AR-specific student engagement observational methodology, named the Augmented Reality Lessons Engagement Observation framework or ARLEO, adapted to this environment and grounded in existing framework approaches, is proposed based on constant comparative period coding of video-records of lessons utilizing ARLEs on tablet computers. Finally, examples of application are given based on recorded actions of first and second grade primary school students during ARLE use. This shows ARLEO to be a practical approach to determining engagement of each student in the class, while respecting AR affordances, allowing for comparative research into engagement during ARLE use through multiple engagement categories.
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Data availability
The data that support the findings of this study are available on reasonable request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions (the main data which are used as basis for the testing and initial application of the presented methodology are video-recordings of students’ actions during observed lessons, which disclose students’ likenesses and are therefore not publishable).
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Acknowledgements
The authors would like to thank Manuela Kajkara and Tomislav Jagušt for their contributions in the development of the SCOLLAm platform and Manuela Kajkara for an initial analysis of the presented 2016 example data. As well, the authors would like to thank the staff of the participating primary school for their partnership in the realization of the study presented in this paper. The positions expressed in this document are the sole responsibility of the authors and do not represent any official position of the European Parliament.
Funding
This research is funded by the Croatian Science Foundation under the project UIP-2013-11-7908 (SCOLLAm). The corresponding author’s studies were supported by the Long-term studies leading to a diploma programme of the European Parliament.
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ND wrote the initial draft of the paper as well as completed revision of its final form and was the main researcher tasked with researching the domain, assembling the methodology presented as well as conducting the data analysis and is therefore the corresponding author. IB oversaw the work of the corresponding author as his PhD supervisor and collaborated in the development of the presented methodology, provided recommendations regarding analytical analysis of the results of the application of the methodology as well as provided collaborative review and revision of the work during the drafting stage. LHW provided insight into possible theoretical bases for the methodology during its conception and development, including suggesting the use of the ML-ICT and the constant comparative method, based on the problem statements of issues encountered during development of the methodology by the first two authors. He as well provided collaborative review and revision of the work during the drafting stage.
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The SCOLLAm project was examined for ethical policies compliance by the Ethics Committee of the University of Zagreb Faculty of Electrical Engineering and Computing and given approval for the proposed experiments.
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Drljević, N., Botički, I. & Wong, L.H. Observing student engagement during augmented reality learning in early primary school. J. Comput. Educ. 11, 181–213 (2024). https://doi.org/10.1007/s40692-022-00253-9
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DOI: https://doi.org/10.1007/s40692-022-00253-9